Lee Chang-ho 9-dan Go USB Masterpiece Collection Part 2 (Project to Become a Kiwon Level 1)

An advanced player thirsty for improvement! Those who want to learn proper Go joseki and apply it in real games! Clear commentary by Go instructor Yeongeum Baduk (Moon Kook-hyun)! 10 minutes a day! A 50-day completion project!

Recommended for dan-level players from 1-dan to 7-dan! Yeongeum Baduk presents a full analysis of the masterpieces of Lee Chang-ho 9-dan, who was known as the God of Baduk!! We have meticulously covered details that even strong amateur players often miss.~ Invest 20 minutes a day to boost your stagnant skills once again~

Go, the game you want to learn as a lifelong hobby! Start learning the basics of Go, which always felt difficult, with Pension Go! Completed in 50 days! This introductory Go course (18-kyu to 15-kyu) focuses on learning through game reviews and is designed to help beginners understand the fundamentals of Go.

For those who want to enjoy Go even more by improving their skills beyond the beginner level! Study the movement and direction of stones, which have always felt difficult, with Pension Go! Completed in 50 days! The "Intermediate Go Course 1 (10-7 Kyu) Learning through Review" is a lecture designed to help those who have moved past the beginner stage to understand the essence of Go and increase their playing strength.

[McKinsey Alumni Kim Jaesung's Problem-Solving Q&A: We'll Solve Your Problems Together] Required! Prerequisite Course: McKinsey Alumni Kim Jaesung's AI-Powered Problem-Solving & Research Special Lecture https://inf.run/LmvrD 'Theory-only lectures, step aside!' A magical solution video that solves real practical problems together on the spot! This is a video series where Kim Jaesung, a McKinsey alumnus and AI expert, meets with each person individually in a 1:1 Q&A format to structure and solve your problems. From career paths and minor concerns to massive topics like AI that's shaking the world and improvement directions for industries as a whole! Each video will be uploaded for individual purchase. Paid course students will have the opportunity to actually participate through a quarterly lottery drawing! (The more of Kim Jaesung's courses you take, the higher your chances of winning!) [Concept] This is a 1:1 immediate Q&A format meeting with individuals, with the concept of industry experts and strategy experts coming together to approach the right answer. Participants have been extremely satisfied. (You can see and hear this in their testimonials!) The key to this video series is that strategy expert Kim Jaesung doesn't receive the topic in advance, but through strategic questioning and answering, we get closer to the right answer together. Experience the magical solution that naturally elicits the reaction "This actually works?!" lol, based on strategy and structuring rather than relying on intuition and experience! The free version (~10 minutes) will be available to everyone, and the full version will be available to Inflearn course students or YouTube channel [Kim Jaesung's Problem Solving] 'Premium Membership' subscribers. If you wish to participate, please send an email to jaesung_kim@jcurvepartners.ai with the subject line [Coffee Chat Application] In the email, please include your name, age, contact information (mobile phone number), occupation and years of experience (students are welcome), detailed reasons for applying, and attach a screenshot of your enrollment in Kim Jaesung's Inflearn courses. Selected applicants will be contacted. (Personal information of non-selected applicants will be immediately discarded after 3 months) When appearing in the video, using a pseudonym or not revealing your company name is possible, but if you wish for face blurring, voice modulation, or other modifications, participation is not possible. By consenting to video recording, you are deemed to have agreed that the video may be reprocessed and used on Inflearn and Kim Jaesung's YouTube channel.

Have you ever been studying deep learning, only to lose sight of the bigger picture when model names and equations all appear at once? This course explains deep learning not as a collection of difficult formulas, but as the history of problem-solving that began with a single artificial neuron and progressed to ChatGPT. I have taught hundreds of hours of deep learning lectures to learners with diverse academic backgrounds and experiences at LG Electronics DX School. Through that process, I discovered a common difficulty: “I understand it while listening to the explanation, but when a new equation or model appears, I feel lost again.” So I improved the lectures by explaining what the problem was first, why existing methods failed, and what was changed to solve it—before covering the model’s structure or calculation methods. In this course, we follow a single visual metaphor—“drawing a line”—to connect the perceptron to CNNs, RNNs, Attention, Transformers, and large language models. Rather than calculating the equations directly, you will understand what problem each equation solves and learn to analyze new AI systems for yourself by asking the following question: “What problem was this model trying to solve, what did it change to do so, and what decisions did it leave to humans?” Ultimately, this course helps you develop the ability to distinguish between what should be entrusted to AI and what people must verify and take responsibility for, instead of blindly trusting or fearing AI.

I want to gain an in-depth understanding of the trials, changes, and history of resistance that Koreans experienced during the Japanese colonial period, from the forced annexation to liberation.

Elon Musk (Tesla) and Mark Zuckerberg (Meta) started coding at the age of ten. It was possible because they had good computers, proper education, and a supportive environment. Now, we have computers in our hands. Proper education and a supportive environment are required.

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

✅ Shoulder Pain 3-Week Reset Program Summary 🟠 Program Name Shoulder Pain 3-Week Reset - Frozen Shoulder - Impingement Syndrome - Rotator Cuff Tear - Anterior Glide Syndrome 🟠 Course Review Summary “The sharp pain at night has disappeared” “The pain that couldn’t be resolved at the hospital is finally gone” “I was surprised it was a routine tailored exactly to the symptoms I was experiencing” “In just 3 weeks, my arm moves much lighter and smoother” 📍Teacher Blka's Open Chat Room Link Below📍 -> 1:1 or feel free to ask questions within the chat room 🟠 If these apply to you, definitely sign up! - A sharp or catching sensation when lifting your arm - Aches or throbbing shoulder pain at night - Those who wanted to exercise but gave up due to pain - Those who suspect frozen shoulder/rotator cuff issues but are unsure - Those with chronic shoulder pain that doesn't improve even after hospital visits/physical therapy/manual therapy 🟠 Core Concept Not just simple ‘stretching’, but A rehabilitation-based routine program that considers self-assessment → cause identification → customized routine → recurrence prevention 🟠 Program Structure 📅 3-week comprehensive VOD program (21-day structure) 📌 Daily 7-minute self-exercise & stretching routine 🎯 Step-by-step focused strategies Reset (Week 1) – Resetting pain-inducing postures and patterns Evolution (Week 2) – Recovering movement and expanding range of motion Stretch & Strength (Week 3) – Strengthening weak muscles and preventing pain recurrence 🟠 Key Features - Includes self-diagnosis guide for each shoulder pain type - Based on over 500 proven practical rehabilitation PT cases - Differentiation from hospital manual therapy: Exercise-centric routine + cause analysis - A complete self-rehabilitation design that can be followed alone just by watching VODs 🟠 Expected Effects - Alleviation of night pain → improved deep sleep - Minimizing recurrence through root cause analysis - Resolution of catching sensation/pain when moving the shoulder - Ability to self-resolve shoulder issues without hospital/physical therapy/manual therapy/injection treatments 📌Teacher Blka's YouTube https://www.youtube.com/@bks_rehab_PT 📌Teacher Blka's Blog https://blog.naver.com/runt0130 📌Teacher Blka's Open Chat Room https://open.kakao.com/o/gTWXzVCh

[Strategic Roadmap for System Control and Prevention of Cognitive Atrophy in the AI Era] 1. Introduction: Technical Initiative and Strategic Command (Strategic Command vs. Passive Dependence) A core insight derived from the past 40 years of automotive R&D and corporate management is that entities that lose technical control are highly likely to devolve from beneficiaries of a system into its dependents. In particular, the proliferation of Artificial Intelligence (AI) technology—comparable to high-performance engines—presents a crossroads: it will either leave humans as "passive passengers" of technology or allow them to leap forward as "strategic commanders" who master the system. The indiscriminate dependence on AI observed today is accelerating "Cognitive Offloading," a phenomenon where humans entirely delegate their inherent thinking and analytical mechanisms to machines. This induces the deactivation of the brain's Executive Control Network (ECN) and carries the risk of a structural crisis known as "Cognitive Atrophy," leading to the functional decline of the frontal lobe in the long term. This course aims to present a strategic methodology to strengthen human cognitive capabilities and safeguard intellectual sovereignty in response to this intellectual crisis. 2. Five Core Methodologies for Safeguarding Cognitive Sovereignty ① Maintaining Cognitive Plasticity and Designing Intentional Cognitive Load (Cognitive Gym) The convenience of AI, which provides immediate and seamless answers, can lead to a disconnection in thinking and the omission of critical review processes. To prevent this, it is necessary to design intentional "Cognitive Friction" within work processes. By counter-utilizing AI's automation functions to forcibly delay and deepen the human thinking process, advanced training must be conducted to stimulate neuroplasticity and raise the threshold of thought. ② Establishing an Adversarial Verification System Based on Multi-Agent Systems (MAS) Human cognitive systems are susceptible to "Automation Bias," the tendency to uncritically accept AI outputs. To offset this bias, it is effective to operate a "Critique Agent" or a virtual "Red Team" that analyzes and attacks the vulnerabilities of the logic, separate from the primary model that follows the user's instructions. This forces the process of building defensive logic, thereby activating "System 2 (deliberative thinking)" as defined by Daniel Kahneman. ③ Implementation of Literacy-Based Dual-Track and RQTDW Learning Methods The ability to verify digital tools is directly proportional to one's analog foundational thinking system. While maintaining literacy to deeply grasp the context of text, it is recommended to internalize the 5-step RQTDW roadmap: Read (Deep Reading): Perform a multi-faceted identification of the source of information. Question (Questioning): Pose critical questions regarding logical consistency and the validity of premises. Think (Confronting Contradictions): Analyze and contemplate trade-offs and logical gaps between information. Discuss (In-depth Discussion): Diversify points of contention through virtual or actual discussions. Write (Reconstruction): Refine the results of expanded thinking into human-specific language for systemic internalization. ④ Applying the Sandwich Workflow to Clarify Accountability Delegating the entire work process to AI poses a high risk of cognitive paralysis; therefore, it is essential to establish a rigorous workflow that structurally separates the roles of humans and AI. Context Design Phase (Top Bun): Setting the purpose of the task, imposing constraints, and designing the overall architecture must be performed under human leadership. Data Processing Phase (Meat): Tasks involving repetitive and large-scale resources, such as calculating vast data, sorting, and drafting, are delegated to AI. Final Verification Phase (Bottom Bun): Ethical judgment, precise cross-referencing of facts (Fact-check), and final value attribution are returned to the human domain of responsibility to ensure system stability. ⑤ Hallucination Control and Strengthening Epistemic Boundaries via the SIFT Model AI possesses the attributes of a "stochastic parrot," combining tokens based on probabilistic frequency without a substantive understanding of meaning. Therefore, one must be wary of the "illusion of knowledge" created by AI's fluent output. To this end, a 3-step fact-checking protocol and the SIFT model must be strictly applied in practice. The habit of "Lateral Reading"—tracking original sources and contrasting them with external data—becomes a key mechanism to prevent intellectual free-riding on technical convenience. 3. Conclusion: The Strategic Mission of the Hyper-Intelligent Helmsman While the phenomenon of intelligence is manifested through engineering design, the core agent that controls it in a meaningful direction and creates business value remains rigorous human thinking. This masterclass is designed to ensure that students acquire the capabilities of a "Hyper-Intelligent Helmsman" who controls the powerful power source of AI and designs organizational systems. Strengthen the cognitive muscles of individual members and actively respond to technical challenges. When rigorous engineering control is combined with advanced cognitive abilities, AI will finally function as a strategic asset that drives the sustainable growth of both members and the organization.

We will help you solve the difficulty of preparing with only certification textbooks through our online lectures.

Follow along easily with example files for each lesson. A systematic logic guide that’s hard to believe is free! Request the example files at sinuihyun@gmail.com.

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

"The days of being overwhelmed by daily emails and document creation are over. A professional with 30 years of creative experience will teach you practical methods to use ChatGPT to create two hours of breathing room every day, redesigning your life so you can invest in side hustles and learning." Are you struggling to keep up with daily emails and document preparation? A professional with 30 years of creative experience will show you how to significantly reduce your workload using ChatGPT and reclaim two hours of free time each day. No difficult technical knowledge is required. Learn systematic, practical skills to master AI as a "thinking partner" and live the second half of your life—from your 40s onward—with lightness and abundance.

If you receive stock recommendations from AI and leave the timing of buying and selling to it, will you actually make a profit? AI is not a prophetic tool that predicts future stock prices. Instead, it can be a powerful investment assistant that checks the emotions swaying your investment decisions, analyzes complex information, and helps you stick to long-term investment principles. In this course, you will understand the typical behavioral errors of individual investors—such as loss aversion, panic selling, and FOMO—and learn how to create unwavering investment criteria using AI prompts and investment analysis tools. From back-calculating target assets to portfolio design, utilizing tax-saving accounts, and setting up automated recurring purchases, complete your own AI investment system that even busy office workers can consistently execute. Point 1. Understand the limits of AI investment and use it properly Understand through data why AI is not suitable for stock recommendations and predicting trade timing Utilize AI in areas it excels at, such as earnings call analysis, ETF overlap diagnosis, and portfolio reviews Learn how to review counter-scenarios and risk factors so you don't just believe optimistic answers Point 2. Correct the malfunctions that sway investment psychology Diagnose recurring investment behavior patterns such as loss aversion, the disposition effect, panic selling, and FOMO Practice the 72-hour rule to reduce impulsive trading and routines for formalizing selling conditions Design AI prompts that help maintain long-term investment principles despite market volatility Point 3. Create a long-term investment system that sustains itself automatically Design a recurring investment plan and portfolio based on target assets and investment periods Review investment strategies through Monte Carlo analysis and tax-saving account simulations Complete an investment structure that executes without constant deliberation by setting up automated purchases and cash buffers

An easy-to-understand lecture by the author of [AI Leadership], a management scholar with a background in program development and a creative organization HR expert

The power of AI, completed with PPT. This course goes beyond simple presentation creation, It's an all-in-one course that uses AI to finish everything from planning to design and content creation at once. Complex design? Now AI suggests everything from the initial draft Product detail pages, video production, carousels, GIF banners, e-books, etc. all created with just PPT AI prompt-based content generation followed by content creation with PPT, etc. Complete disclosure of AI+PPT's unique workflow! Even if you're not a designer, even if you don't know the tools well A practical course where anyone can create professional-level results. 💡 "You provide the ideas, AI and PPT handle the rest!" Right now, your content creation method will completely change.

AI is the trend, but can't I just pick out the information that's useful for my work? I've prepared a story that will give you various insights into AI from the perspectives of engineers, strategic planners, marketers, and executives.

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!